WO2015031982A8 - Method and system for objective perceptual video quality assessment - Google Patents

Method and system for objective perceptual video quality assessment Download PDF

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Publication number
WO2015031982A8
WO2015031982A8 PCT/CA2014/000676 CA2014000676W WO2015031982A8 WO 2015031982 A8 WO2015031982 A8 WO 2015031982A8 CA 2014000676 W CA2014000676 W CA 2014000676W WO 2015031982 A8 WO2015031982 A8 WO 2015031982A8
Authority
WO
WIPO (PCT)
Prior art keywords
quality
video
map
quality assessment
dimension
Prior art date
Application number
PCT/CA2014/000676
Other languages
French (fr)
Other versions
WO2015031982A1 (en
Inventor
Zhou Wang
Abdul REHMAN
Kai ZENG
Original Assignee
Zhou Wang
Rehman Abdul
Zeng Kai
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhou Wang, Rehman Abdul, Zeng Kai filed Critical Zhou Wang
Priority to CN201480059266.1A priority Critical patent/CN105981384B/en
Priority to CA2958720A priority patent/CA2958720C/en
Priority to EP14842580.4A priority patent/EP3042498A4/en
Priority to US14/916,927 priority patent/US10165281B2/en
Publication of WO2015031982A1 publication Critical patent/WO2015031982A1/en
Publication of WO2015031982A8 publication Critical patent/WO2015031982A8/en

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/154—Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/993—Evaluation of the quality of the acquired pattern
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/24—Character recognition characterised by the processing or recognition method
    • G06V30/248—Character recognition characterised by the processing or recognition method involving plural approaches, e.g. verification by template match; Resolving confusion among similar patterns, e.g. "O" versus "Q"
    • G06V30/2504—Coarse or fine approaches, e.g. resolution of ambiguities or multiscale approaches
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details
    • H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • H04N19/51—Motion estimation or motion compensation
    • H04N19/53—Multi-resolution motion estimation; Hierarchical motion estimation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30168—Image quality inspection

Abstract

There is disclosed a method and system for objective video quality assessment. The objective video quality assessment approach automatically predicts human visual quality assessment behaviours in evaluating videos that contain artifacts generated during video acquisition, storage, reproduction, compression, transmission, processing, and/or display. The present method and system computes a five-dimensional quality map of a video being assessed, where the map indicates the local quality variations of the video in a five-dimensional space, which includes two spatial dimensions, one scale dimension, one time dimension, and one distortion type dimension. The present method and system may use one or a combination of device and viewing condition parameters in the generation of the quality map, and in the combination of the quality map into a scalar or vector-values measure that indicates quality aspects of the test videos.
PCT/CA2014/000676 2013-09-06 2014-09-05 Method and system for objective perceptual video quality assessment WO2015031982A1 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
CN201480059266.1A CN105981384B (en) 2013-09-06 2014-09-05 Method and system for the assessment of objective perceived video quality
CA2958720A CA2958720C (en) 2013-09-06 2014-09-05 Method and system for objective perceptual video quality assessment
EP14842580.4A EP3042498A4 (en) 2013-09-06 2014-09-05 Method and system for objective perceptual video quality assessment
US14/916,927 US10165281B2 (en) 2013-09-06 2014-09-05 Method and system for objective perceptual video quality assessment

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201361959947P 2013-09-06 2013-09-06
US61/959,947 2013-09-06

Publications (2)

Publication Number Publication Date
WO2015031982A1 WO2015031982A1 (en) 2015-03-12
WO2015031982A8 true WO2015031982A8 (en) 2016-03-17

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CA2014/000676 WO2015031982A1 (en) 2013-09-06 2014-09-05 Method and system for objective perceptual video quality assessment

Country Status (5)

Country Link
US (1) US10165281B2 (en)
EP (1) EP3042498A4 (en)
CN (1) CN105981384B (en)
CA (1) CA2958720C (en)
WO (1) WO2015031982A1 (en)

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CN110401832B (en) * 2019-07-19 2020-11-03 南京航空航天大学 Panoramic video objective quality assessment method based on space-time pipeline modeling

Also Published As

Publication number Publication date
CA2958720A1 (en) 2015-03-12
US20160212432A1 (en) 2016-07-21
EP3042498A1 (en) 2016-07-13
WO2015031982A1 (en) 2015-03-12
EP3042498A4 (en) 2017-11-08
CN105981384A (en) 2016-09-28
CN105981384B (en) 2019-04-19
CA2958720C (en) 2020-03-24
US10165281B2 (en) 2018-12-25

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